Speed Control of PMSM Based on Data-Driven Method

Abstract

Aiming at the problem that the speed control accuracy of permanent magnet synchronous motors is easily affected by uncertain factors such as load moment of inertia, external disturbances, unmodeled dynamics, etc., a data-driven speed control method is proposed. This method firstly uses the least square method to identify the precise mathematical model of the system based on the input and output data of the controlled system in real time. Then, in order to reduce the difficulty of the controller parameter tuning, a method of numerically optimizing the controller parameters is proposed. We can use this method and the precise model of the system obtained in the previous step to tune the controller parameters. Through MATLAB simulation software and experimental platform, the speed control method proposed in this paper is compared with the PI control method. From the simulation and experimental results, it can be seen that the control method proposed in this paper can effectively adapt to the time-varying problem of the controlled model. After the load moment of inertia is increased by 20 times from initial value, the overshoot of the original PI control method increases at 14.8%, the adjustment time increases to 1 second. Using the control method in this paper, the overshoot can be controlled at 3% and the adjustment time can be controlled at 0.1 second.